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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Job Req ID: 22371 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
$150,000 - $167,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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Experience with GCP Services - Familiarity with GCP services, particularly BigQuery for data warehousing and Composer for workflow management. Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering.
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By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles.
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Familiarity with big data processing frameworks (e.g., Hadoop, Spark) and databases (e.g., SQL, NoSQL) Demonstrable experience working with AI/ML researchers, setting up AI/ML data pipelines using standard frameworks like Spark, Kubernetes etc., on public cloud environments.
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Use Advanced big data scheduling techniques (Jenkins, Airflow) for reliable and recurrent data processing. Develop big data applications for precise audience targeting and cutting-edge measurement for campaign reporting, leveraging the wealth of data within the Walmart ecosystem.
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If you enjoy working on critical data center systems (UPSs, PDUs, Diesel Generators, ATS equipment and Building Controls), as well as industrial electrical equipment and systems that include power distribution components/wiring, electronic components and lighting systems.
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Analytical, logical, data-driven, and ability in analyzing big data in decision-making process using tools such as database query and JMP. Together, we're the next BIG thing in data.
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This candidate must have outstanding data analysis skills, both in terms of statistical analysis fundamentals and software tools (JMP, MATLAB, and/or Python), deep expertise in chemistry and materials science, and a fantastic ability to lead and navigate complex chemistry R&D projects with a strong intuition for manufacturability.
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As SAP Master Data Management Technical Lead, you will be responsible for leading the planning, development and implementation of (MDM) and relevant software solutions that align to the Information Technology roadmap and business strategies.
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Microsoft 365, Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
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Strong proficiency in creating 3D CAD in Solidworks and managing data in PDM (Product Data Management) software or equivalent (ie Siemens NX and Teamcenter) Senior Engineer: $156,000 USD - $205,000 USD.
$156,000 - $245,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong proficiency in independently developing and delivering hardware products as the responsible mechanical design engineer from cradle to grave. Staff Engineer : Bachelor's degree in Mechanical Engineering with 10+ years relevant industry experience OR Master’s degree with 8+ years relevant industry experience OR PhD with 4+ years relevant industry experience.
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big data jobs Title: senior data engineer Company: Wells Fargo Bank in Milpitas, CA
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